基于专家系统的通信网全链路故障智能判读  

Fault Diagnosising Intelligently of Communication Network End-to-end Link Based on Expert system

作　　者：李斌成[1] 马宇飞 李培儒 LI Bincheng;MA Yufei;LI Peiru(The 54th Research Institute of CETC,Shijiazhuang 050081,China)

机构地区：[1]中国电子科技集团公司第五十四研究所

出　　处：《无线电通信技术》2018年第5期463-469,共7页Radio Communications Technology

基　　金：国家部委基金资助项目

摘　　要：由于链路环节多、故障因素复杂等原因,通信网全链路告警故障自动判读一直是通信网态势管理中一个困难问题。分析了传统链路状态监视技术及其不足,对CLIPS专家系统工具在通信网全链路告警故障自动判读方面的应用进行了研究,建立了通信网全链路告警故障的故障树及判定树模型,构建了专家系统领域知识库,设计了基于CLIPS的通信网全链路告警故障自动判读系统,并通过仿真实验验证了其智能自动告警故障判读机制的高效、准确性,实现了基于人工智能专家系统技术的通信网全链路告警故障智能自动化判读。End-to-end link alarm and auto-fault discrimination of communication network is still a big problem in network status management because of complex link and fault cause. This paper analyses the existing problem for traditional monitoring technology of link status. Based on the research of application of CLIPS expert system tool for the link alarm and auto-fault discrimination of communication network,this paper mainly puts forward a model for link alarm depending on fault tree and decision tree,then further carries out an expert knowledge database,finally accomplishes the system design for link alarm and auto-fault discrimination of communication network. A set of simulation experiments verified the efficiency and accuracy of intelligent auto-alarm and fault discrimination.

关 键 词：专家系统 CLIPS 通信网 故障判读 全链路 

分 类 号：TN927.2[电子电信—通信与信息系统]